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Posted to issues@spark.apache.org by "Michael Atef (JIRA)" <ji...@apache.org> on 2019/01/23 16:51:00 UTC
[jira] [Commented] (SPARK-24417) Build and Run Spark on JDK11
[ https://issues.apache.org/jira/browse/SPARK-24417?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16750208#comment-16750208 ]
Michael Atef commented on SPARK-24417:
--------------------------------------
Hello,
I am facing problems with Pyspark when I moved to JDK11. Is this a known issue in py4j version in pyspark 2.4.x.
attaching the stack-trace :
{code:java}
raceback (most recent call last):
File "/Applications/spark-2.4.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 63, in deco
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/py4j/protocol.py", line 328, in get_return_value
format(target_id, ".", name), value)
py4j.protocol.Py4JJavaError: An error occurred while calling o58.describe.
: java.lang.IllegalArgumentException: Unsupported class file major version 55
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:166)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:148)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:136)
at org.apache.xbean.asm6.ClassReader.<init>(ClassReader.java:237)
at org.apache.spark.util.ClosureCleaner$.getClassReader(ClosureCleaner.scala:49)
at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:517)
at org.apache.spark.util.FieldAccessFinder$$anon$3$$anonfun$visitMethodInsn$2.apply(ClosureCleaner.scala:500)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
at scala.collection.mutable.HashMap$$anon$1$$anonfun$foreach$2.apply(HashMap.scala:134)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:236)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:40)
at scala.collection.mutable.HashMap$$anon$1.foreach(HashMap.scala:134)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.util.FieldAccessFinder$$anon$3.visitMethodInsn(ClosureCleaner.scala:500)
at org.apache.xbean.asm6.ClassReader.readCode(ClassReader.java:2175)
at org.apache.xbean.asm6.ClassReader.readMethod(ClassReader.java:1238)
at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:631)
at org.apache.xbean.asm6.ClassReader.accept(ClassReader.java:355)
at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:307)
at org.apache.spark.util.ClosureCleaner$$anonfun$org$apache$spark$util$ClosureCleaner$$clean$14.apply(ClosureCleaner.scala:306)
at scala.collection.immutable.List.foreach(List.scala:392)
at org.apache.spark.util.ClosureCleaner$.org$apache$spark$util$ClosureCleaner$$clean(ClosureCleaner.scala:306)
at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:162)
at org.apache.spark.SparkContext.clean(SparkContext.scala:2326)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2100)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:2126)
at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:945)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:363)
at org.apache.spark.rdd.RDD.collect(RDD.scala:944)
at org.apache.spark.sql.execution.stat.StatFunctions$.aggResult$lzycompute$1(StatFunctions.scala:273)
at org.apache.spark.sql.execution.stat.StatFunctions$.org$apache$spark$sql$execution$stat$StatFunctions$$aggResult$1(StatFunctions.scala:273)
at org.apache.spark.sql.execution.stat.StatFunctions$$anonfun$summary$2.apply$mcVI$sp(StatFunctions.scala:286)
at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:160)
at org.apache.spark.sql.execution.stat.StatFunctions$.summary(StatFunctions.scala:285)
at org.apache.spark.sql.Dataset.summary(Dataset.scala:2534)
at org.apache.spark.sql.Dataset.describe(Dataset.scala:2473)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.base/java.lang.reflect.Method.invoke(Method.java:566)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
at py4j.Gateway.invoke(Gateway.java:282)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.base/java.lang.Thread.run(Thread.java:834)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/Users/accorpallc/ENMS_workspace/ENMS_PY_WORKSPACE/sample/linear_regression_model.py", line 20, in <module>
train_data.describe().show()
File "/Applications/spark-2.4.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/dataframe.py", line 1172, in describe
File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/py4j/java_gateway.py", line 1286, in __call__
answer, self.gateway_client, self.target_id, self.name)
File "/Applications/spark-2.4.0-bin-hadoop2.7/python/lib/pyspark.zip/pyspark/sql/utils.py", line 79, in deco
pyspark.sql.utils.IllegalArgumentException: 'Unsupported class file major version 55'
{code}
> Build and Run Spark on JDK11
> ----------------------------
>
> Key: SPARK-24417
> URL: https://issues.apache.org/jira/browse/SPARK-24417
> Project: Spark
> Issue Type: New Feature
> Components: Build
> Affects Versions: 2.3.0
> Reporter: DB Tsai
> Priority: Major
>
> This is an umbrella JIRA for Apache Spark to support JDK11
> As JDK8 is reaching EOL, and JDK9 and 10 are already end of life, per community discussion, we will skip JDK9 and 10 to support JDK 11 directly.
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